Tag: Amazon DynamoDB

Though AWS re:Invent 2017 concluded two months ago, we still wanted to round up and share all the excellent Amazon DynamoDB session content from the conference. The following table includes the titles of DynamoDB-related sessions and links to the session recordings, session descriptions, and an explanation of whom each session is best for. AWS re:Invent […]

Migrating data from one database to other can be quite challenging with respect to data consistency, downtime of applications, and key design differences between the target and source databases. AWS Data Migration Service (AWS DMS) helps you migrate databases like MongoDB, Oracle, MySQL, and Microsoft SQL Server to AWS quickly, securely, and seamlessly. The source […]

We recently released On-Demand Backup for Amazon DynamoDB. Using On-Demand Backup, you can create full backups of your DynamoDB tables, helping you meet your corporate and governmental regulatory requirements for data archiving. Now you can back up any table from a few megabytes to hundreds of terabytes of data in size, with the same performance […]

This post describes the performance aspects of migrating data to Amazon DynamoDB using AWS DMS, minimizing downtime, and converting the data that is more suitable for DynamoDB using either map to record or map to document types.

Alexander Patrikalakis and Sasha Slutsker are senior software development engineers with Amazon. At Amazon, teams all across the company build upon AWS services just like AWS’s external customers. Here we have a contribution from Alex and Sasha, who work on teams supporting Amazon.com about a new client library that they developed to make their applications […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Updated May 2021. This post describes some common use cases you might encounter, along with their design options and solutions, when migrating data from relational data stores to Amazon DynamoDB. We will consider how to manage the following scenarios: How do […]

Joseph Idziorek is a product manager at Amazon Web Services. AWS recently launched Amazon DynamoDB Accelerator (DAX), a highly available, in-memory cache for Amazon DynamoDB. If you’re currently using DynamoDB or considering DynamoDB, DAX can offer you response times in microseconds and millions of requests per second. When developers start using DAX, they tell us […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Adam Wagner is a solutions architect at Amazon Web Services. Earlier this year, Amazon DynamoDB released Time to Live (TTL) functionality, which automatically deletes expired items from your tables, at no additional […]

Update from May 29, 2018: Today, we published Z-order indexing for multifaceted queries in Amazon DynamoDB: Part 2. TL;DR Using Z-order indexing, you can efficiently run range queries on any combination of fields in your schema. Although Amazon DynamoDB doesn’t natively support Z-order indexing, you can implement the functionality entirely from the client side. A single […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. We find that customers running AWS workloads often use both Amazon DynamoDB and Amazon Aurora. Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency […]